AURORA: A High Performance Software DAQ Framework for Next-Generation Rare-Event Search Experiments

Abstract

The upcoming PandaX-xT experiment will deploy over 3,000 readout channels operating at a 500 MSa/s sampling rate, generating a sustained data bandwidth up to 1.6 GB/s. To meet this demanding requirement, we present AURORA, a high-performance, distributed data acquisition (DAQ) framework designed for scalability, low latency, and efficient resource utilization. Built on a modular architecture and leveraging modern I/O and networking technologies, including multi-level buffering, deferred and asynchronous processing, AURORA achieves a projected throughput of over 3 GB/s on the aggregation node in benchmark tests. While developed to support PandaX-xT, the framework is experiment-agnostic and readily adaptable to other large-scale particle and nuclear physics experiments.

17 pages, 6 figures and 2 tables, version accepted by NIMA

References in corpus (10)

• Dark Matter Search Results from the PandaX-4T Commissioning Run
• Liquid Xenon Detectors for Particle Physics and Astrophysics
• Dark matter direct search sensitivity of the PandaX-4T experiment
• Dark Matter Search Results from 1.54 Tonne$\cdot$Year Exposure of PandaX-4T
• Dark Matter Search Results from the Commissioning Run of PandaX-II
• PandaX-xT: a Multi-ten-tonne Liquid Xenon Observatory at the China Jinping Underground Laboratory
• A First Search for Solar ${}^8$B Neutrino in the PandaX-4T Experiment using Neutrino-Nucleus Coherent Scattering
• Readout electronics and data acquisition system of PandaX-4T experiment
• The Triggerless Data Acquisition System of the XENONnT Experiment
• A 500 MS/s waveform digitizer for PandaX dark matter experiments